Evidence map›Paper›PMID 28248929›Full record

ArticleScientific data2017

RNAi screens for Rho GTPase regulators of cell shape and YAP/TAZ localisation in triple negative breast cancer.

Patricia Pascual-Vargas, Samuel Cooper, Julia Sero, Vicky Bousgouni, Mar Arias-Garcia, Chris Bakal

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.4field-weighted citation impact, top 12% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Bayesian Landmark-based Shape Analysis of Tumor Pathology Images.Journal of the American Statistical Association · 2024
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  5. Review
  6. Article
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  9. Protooncogenic Role ofBioMed research international · 2023
    Article
  10. Article
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  12. Quantitative cell imaging approaches to metastatic state profiling.Frontiers in cell and developmental biology · 2022
    Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Sharing and reusing cell image data.Molecular biology of the cell · 2018
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Patricia Pascual-VargasDynamical Cell Systems Team, Cancer Biology, Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK.
Samuel CooperDynamical Cell Systems Team, Cancer Biology, Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK.
Julia SeroDynamical Cell Systems Team, Cancer Biology, Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK.
Vicky BousgouniDynamical Cell Systems Team, Cancer Biology, Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK.
Mar Arias-GarciaDynamical Cell Systems Team, Cancer Biology, Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK.
Chris BakalDynamical Cell Systems Team, Cancer Biology, Institute of Cancer Research, 237 Fulham Road, London SW3 6JB, UK.ORCID 0000-0002-0413-6744
Institute of Cancer Research · GB

Funding

Cancer Research UK 20146
6 · The paper itself

Abstract

In order to metastasise, triple negative breast cancer (TNBC) must make dynamic changes in cell shape. The shape of all eukaryotic cells is regulated by Rho Guanine Nucleotide Exchange Factors (RhoGEFs), which activate Rho-family GTPases in response to mechanical and informational cues. In contrast, Rho GTPase-activating proteins (RhoGAPs) inhibit Rho GTPases. However, which RhoGEFs and RhoGAPS couple TNBC cell shape to changes in their environment is very poorly understood. Moreover, whether the activity of particular RhoGEFs and RhoGAPs become dysregulated as cells evolve the ability to metastasise is not clear. Towards the ultimate goal of identifying RhoGEFs and RhoGAPs that are essential for TNBC metastasis, we performed an RNAi screen to isolate RhoGEFs and RhoGAPs that contribute to the morphogenesis of the highly metastatic TNBC cell line LM2, and its less-metastatic parental cell line MDA-MB-231. For ~6 million cells from each cell line, we measured 127 different features following the depletion of 142 genes. Using a linear classifier scheme we also describe the morphological heterogeneity of each gene-depleted population.

Indexed as

GTPase-Activating ProteinsTriple Negative Breast NeoplasmsFemaleHumansRNA InterferenceGTPase-Activating Proteins

Identifiers

PMID28248929
PMCPMC5332010
OpenAlexW2593881260

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.